Big AI companies courted controversy by scraping wide swaths of the public internet. With the rise of AI agents, the next data grab is far more private. “AI agents, in order to have their full ...

Dec 19 (Reuters) - Google (GOOGL.O), opens new tab on Friday sued a Texas company that "scrapes" data from online search results, alleging it uses hundreds of millions of fake Google search requests ...

Google said today that it is suing SerpApi, accusing the company of bypassing security protections to scrape, harvest, and resell copyrighted content from Google Search results. The allegations: ...

The letter comes just as Disney announced it had reached a partnership with OpenAI. By Caitlin Huston Business Writer Disney has sent a cease-and-desist letter to Google accusing the tech giant of ...

Enterprises need data, and data needs to be stored, with a flexible, portable environment that scales from developers’ laptops to global clouds. That storage also needs to be able to run on any OS and ...

According to Windows Latest, popular messaging service WhatsApp is downgrading its Windows 11 app to a WebView2 equivalent in the latest update, switching from a native Windows application to a web ...

In the age of online information and the rise of artificial intelligence, web scraping has become a widespread method for feeding and training AI systems. However, this proliferation presents major ...

Google announced today that the Chrome web browser will load all public websites via secure HTTPS connections by default and ask for permission before connecting to public, insecure HTTP websites, ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

LinkedIn has filed a lawsuit against Delaware company ProAPIs Inc. and its founder and CTO, Rehmat Alam, for allegedly scraping legitimate data through more than a million fake accounts. ProAPIs ...

AI-assisted web scraping is the use of traditional scraping methods alongside machine learning models to detect patterns, extract data and handle dynamic pages with less manual rule-writing. According ...

You can divide the recent history of LLM data scraping into a few phases. There was for years an experimental period, when ethical and legal considerations about where and how to acquire training data ...